文件名称：深度学习入门-源码-斋藤康逸
文件大小：27.04MB
文件格式：ZIP
更新时间：2024-09-14 04:02:31
斋藤康逸 深度学习入门
斋藤康逸-深度学习入门-源码
【文件预览】：
common
----functions.py(1KB)
----util.py(3KB)
----gradient.py(1KB)
----multi_layer_net.py(5KB)
----__init__.py(0B)
----optimizer.py(4KB)
----__pycache__()
--------optimizer.cpython-38.pyc(4KB)
--------gradient.cpython-38.pyc(1KB)
--------layers.cpython-38.pyc(8KB)
--------util.cpython-38.pyc(3KB)
--------__init__.cpython-38.pyc(157B)
--------multi_layer_net.cpython-38.pyc(5KB)
--------functions.cpython-38.pyc(2KB)
----multi_layer_net_extend.py(7KB)
----layers.py(8KB)
----trainer.py(3KB)
ch02
----or_gate.py(361B)
----xor_gate.py(341B)
----and_gate.py(364B)
----__pycache__()
--------nand_gate.cpython-38.pyc(583B)
--------and_gate.cpython-38.pyc(581B)
--------or_gate.cpython-38.pyc(579B)
----nand_gate.py(370B)
ch05
----gradient_check.py(900B)
----test.py(504B)
----two_layer_net.py(2KB)
----train_neuralnet.py(1KB)
----TwoLayerNet.pkl(988KB)
----.idea()
--------misc.xml(294B)
--------workspace.xml(7KB)
--------modules.xml(267B)
--------ch05.iml(464B)
--------vcs.xml(191B)
----buy_apple_orange.py(988B)
----buy_apple.py(500B)
----__pycache__()
--------two_layer_net.cpython-38.pyc(2KB)
--------layer_naive.cpython-38.pyc(1KB)
----layer_naive.py(557B)
ch06
----overfit_weight_decay.py(2KB)
----batch_norm_gradient_check.py(773B)
----hyperparameter_optimization.py(3KB)
----overfit_dropout.py(1KB)
----weight_init_compare.py(2KB)
----batch_norm_test.py(3KB)
----optimizer_compare_naive.py(1KB)
----weight_init_activation_histogram.py(1KB)
----optimizer_compare_mnist.py(2KB)
ch03
----sample_weight.pkl(178KB)
----sig_step_compare.py(403B)
----step_function.py(269B)
----sigmoid.py(212B)
----neuralnet_mnist.py(1KB)
----neuralnet_mnist_batch.py(1KB)
----mnist_show.py(551B)
----relu.py(209B)
ch08
----half_float_network.py(766B)
----deep_convnet_params.pkl(966KB)
----misclassified_mnist.py(2KB)
----deep_convnet.py(6KB)
----awesome_net.py(27B)
----train_deepnet.py(699B)
.idea
----misc.xml(294B)
----workspace.xml(45KB)
----源码-深度学习入门.iml(1KB)
----modules.xml(309B)
----vcs.xml(188B)
dataset
----lena_gray.png(42KB)
----__init__.py(0B)
----mnist.pkl(52.4MB)
----t10k-labels-idx1-ubyte.gz(4KB)
----mnist.py(3KB)
----t10k-images-idx3-ubyte.gz(1.57MB)
----lena.png(115KB)
----train-images-idx3-ubyte.gz(9.45MB)
----__pycache__()
--------mnist.cpython-38.pyc(3KB)
--------__init__.cpython-38.pyc(158B)
----train-labels-idx1-ubyte.gz(28KB)
ch04
----gradient_method.py(768B)
----two_layer_net.py(2KB)
----train_neuralnet.py(2KB)
----gradient_2d.py(2KB)
----gradient_simplenet.py(678B)
----__pycache__()
--------two_layer_net.cpython-38.pyc(2KB)
----gradient_1d_20190731_173642.py(588B)
ch07
----gradient_check.py(544B)
----apply_filter.py(2KB)
----visualize_filter.py(801B)
----simple_convnet.py(5KB)
----train_convnet.py(1KB)
----params.pkl(3.31MB)
ch01
----simple_graph.py(221B)
----hungry.py(21B)
----sin_graph.py(181B)
----img_show_20190731_173639.py(180B)
----sin_cos_graph.py(398B)
----man_20190731_173639.py(318B)